The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-18"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "39955637 (up from 39670680 yesterday: 0.72 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1113178 (up from 1109833 yesterday: 0.3 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6869819

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.79



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8154594 48210 0.59 1039586 219674 388 0.18 2.69
India 7550273 55722 0.74 1475571 114610 579 0.51 1.52
Brazil 5224362 0 0.00 492053 153675 0 0.00 2.94
Russia 1390824 14804 1.08 244551 24039 182 0.76 1.73
Argentina 989680 10561 1.08 278355 26267 160 0.61 2.65
Colombia 959572 7201 0.76 146516 28970 167 0.58 3.02
Spain 936560 0 0.00 220079 33775 0 0.00 3.61
France 876342 0 0.00 323869 33325 0 0.00 3.80
Peru 865549 3132 0.36 65407 33702 54 0.16 3.89
Mexico 851227 4119 0.49 120910 86167 108 0.13 10.12
United Kingdom 725292 16994 2.40 287775 43736 67 0.15 6.03
South Africa 703793 1662 0.24 33027 18471 63 0.34 2.62
Iran 530380 3890 0.74 83932 30375 252 0.84 5.73
Chile 491760 1757 0.36 33859 13635 47 0.35 2.77
Iraq 426634 3110 0.73 77184 10254 56 0.55 2.40
Italy 414241 11705 2.91 104371 36543 69 0.19 8.82
Bangladesh 388569 1274 0.33 29421 5660 14 0.25 1.46
Germany 368671 4007 1.10 82332 9798 13 0.13 2.66
Indonesia 361867 4105 1.15 86654 12511 80 0.64 3.46
Philippines 356618 2280 0.64 52392 6652 49 0.74 1.87
Turkey 347493 1815 0.53 33060 9296 72 0.78 2.68
Saudi Arabia 342202 348 0.10 9009 5185 20 0.39 1.52
Pakistan 323452 433 0.13 12611 6659 5 0.08 2.06
Ukraine 307301 5445 1.80 103502 5762 93 1.64 1.88
Israel 303109 339 0.11 72083 2209 19 0.87 0.73
Netherlands 234203 8233 3.64 115334 6811 14 0.21 2.91
Belgium 222253 9138 4.29 108074 10413 21 0.20 4.69
Canada 200804 3737 1.90 45376 9816 34 0.35 4.89
Romania 180388 3920 2.22 57715 5872 60 1.03 3.26
Poland 175766 8536 5.10 88436 3573 49 1.39 2.03
Czechia 173885 5058 3.00 109288 1422 70 5.18 0.82
Morocco 173632 2721 1.59 55947 2928 50 1.74 1.69
Ecuador 153289 867 0.57 18542 12387 12 0.10 8.08
Bolivia 139771 61 0.04 5870 8481 18 0.21 6.07
Nepal 132246 2942 2.28 58852 739 12 1.65 0.56
Qatar 129431 204 0.16 4347 224 1 0.45 0.17
Panama 124745 638 0.51 14190 2564 7 0.27 2.06
Dominican Republic 121347 422 0.35 9961 2199 4 0.18 1.81
Kuwait 116146 663 0.57 12602 701 7 1.01 0.60
United Arab Emirates 115602 1215 1.06 24133 463 4 0.87 0.40
Oman 109953 1657 1.53 12503 1101 30 2.80 1.00
Kazakhstan 109508 102 0.09 1733 1768 0 0.00 1.61
Egypt 105424 127 0.12 2584 6120 11 0.18 5.81
Sweden 103200 0 0.00 12277 5918 0 0.00 5.73
Guatemala 101360 332 0.33 11268 3530 15 0.43 3.48
Portugal 99911 1856 1.89 26307 2181 19 0.88 2.18
Costa Rica 95514 0 0.00 23465 1183 0 0.00 1.24
Japan 93098 428 0.46 10912 1672 2 0.12 1.80
China 90972 17 0.02 489 4739 0 0.00 5.21
Ethiopia 89137 703 0.79 15805 1352 6 0.45 1.52
Honduras 88425 831 0.95 13877 2568 5 0.20 2.90
Belarus 87698 635 0.73 10089 929 4 0.43 1.06
Venezuela 86636 347 0.40 13945 736 5 0.68 0.85
Bahrain 77902 331 0.43 8541 300 7 2.39 0.39
Switzerland 74422 0 0.00 22558 2123 1 0.05 2.85
Moldova 67050 398 0.60 16175 1584 15 0.96 2.36
Austria 64806 1672 2.65 21930 893 4 0.45 1.38
Armenia 64694 1694 2.69 15294 1081 14 1.31 1.67
Uzbekistan 63124 315 0.50 7804 525 3 0.57 0.83
Lebanon 62286 1002 1.64 26032 520 3 0.58 0.83
Nigeria 61440 133 0.22 3116 1125 2 0.18 1.83
Singapore 57911 7 0.01 211 28 0 0.00 0.05
Paraguay 54724 709 1.31 16040 1188 9 0.76 2.17
Algeria 54402 199 0.37 3335 1856 10 0.54 3.41
Kyrgyzstan 52044 554 1.08 5793 1111 3 0.27 2.13
Ireland 49962 1284 2.64 14972 1852 3 0.16 3.71
Libya 48790 945 1.98 16426 725 26 3.72 1.49
Ghana 47310 78 0.17 923 310 0 0.00 0.66
West Bank and Gaza 47135 389 0.83 8432 408 6 1.49 0.87
Hungary 46290 1474 3.29 22276 1142 33 2.98 2.47
Azerbaijan 44964 647 1.46 4941 626 3 0.48 1.39
Kenya 44881 685 1.55 6766 832 7 0.85 1.85
Tunisia 40542 0 0.00 24428 626 0 0.00 1.54
Afghanistan 40200 59 0.15 973 1492 4 0.27 3.71
Jordan 37573 1520 4.22 29081 345 15 4.55 0.92
Serbia 36160 214 0.60 2776 776 2 0.26 2.15
Burma 36025 1150 3.30 25291 880 42 5.01 2.44
Denmark 35893 453 1.28 8782 680 1 0.15 1.89
Bosnia and Herzegovina 34112 551 1.64 7192 984 3 0.31 2.88
El Salvador 31666 210 0.67 3036 922 5 0.55 2.91
Slovakia 29835 1567 5.54 20757 88 6 7.32 0.29
Bulgaria 29503 395 1.36 9448 986 18 1.86 3.34
Australia 27399 9 0.03 355 905 1 0.11 3.30
Croatia 25580 819 3.31 9383 363 8 2.25 1.42
Greece 25370 438 1.76 7926 509 9 1.80 2.01
Korea, South 25275 76 0.30 1614 444 0 0.00 1.76
North Macedonia 23628 427 1.84 5999 834 10 1.21 3.53
Cameroon 21441 0 0.00 706 423 0 0.00 1.97
Malaysia 20498 871 4.44 9579 187 7 3.89 0.91
Cote d’Ivoire 20323 22 0.11 694 121 0 0.00 0.60
Georgia 17477 1192 7.32 12223 136 8 6.25 0.78
Albania 17055 281 1.68 3796 451 3 0.67 2.64
Kosovo 16891 285 1.72 1419 653 1 0.15 3.87
Madagascar 16810 0 0.00 525 238 0 0.00 1.42
Norway 16457 88 0.54 2759 278 0 0.00 1.69
Zambia 15853 64 0.41 1212 346 0 0.00 2.18
Montenegro 15615 188 1.22 5302 236 5 2.16 1.51
Senegal 15418 26 0.17 509 317 0 0.00 2.06
Sudan 13697 6 0.04 91 836 0 0.00 6.10
Finland 13424 131 0.99 3742 351 0 0.00 2.61
Slovenia 13142 726 5.85 7792 188 4 2.17 1.43
Namibia 12293 30 0.24 1260 131 0 0.00 1.07
Guinea 11518 40 0.35 938 70 0 0.00 0.61
Maldives 11210 32 0.29 1112 37 1 2.78 0.33
Congo (Kinshasa) 11006 6 0.05 394 302 0 0.00 2.74
Luxembourg 10888 417 3.98 2655 133 0 0.00 1.22
Mozambique 10866 159 1.49 2883 75 1 1.35 0.69
Uganda 10590 135 1.29 3060 97 1 1.04 0.92
Tajikistan 10493 38 0.36 847 80 0 0.00 0.76

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 875692 2078 0.24 65802 16979 23 0.14 1.94 22162.56 429.72 1 in 45
Texas 854006 5564 0.66 95250 17465 25 0.14 2.05 29452.67 602.33 1 in 34
Florida 755020 2539 0.34 54456 15967 50 0.31 2.11 35153.61 743.42 1 in 28
New York 484281 1390 0.29 28655 33357 10 0.03 6.89 24894.21 1714.70 1 in 40
Illinois 347631 4245 1.24 57258 9474 22 0.23 2.73 27433.39 747.64 1 in 36
Georgia 340558 1174 0.35 25873 7638 31 0.41 2.24 32075.39 719.38 1 in 31
North Carolina 246028 2303 0.94 38679 3934 5 0.13 1.60 23457.86 375.09 1 in 43
Arizona 231149 690 0.30 13912 5827 3 0.05 2.52 30354.86 765.21 1 in 33
Tennessee 228744 2605 1.15 35749 2909 6 0.21 1.27 33475.51 425.72 1 in 30
New Jersey 219647 909 0.42 16099 16211 7 0.04 7.38 24728.92 1825.11 1 in 40
Pennsylvania 186754 1086 0.58 26010 8465 23 0.27 4.53 14587.89 661.23 1 in 69
Ohio 181787 1562 0.87 30978 5067 0 0.00 2.79 15551.84 433.48 1 in 64
Louisiana 175781 1143 0.65 10930 5750 23 0.40 3.27 37812.17 1236.88 1 in 26
Alabama 172626 964 0.56 20305 2788 0 0.00 1.62 35206.91 568.61 1 in 28
Wisconsin 166186 0 0.00 50324 1574 0 0.00 0.95 28542.36 270.33 1 in 35
Virginia 165676 881 0.53 19675 3430 11 0.32 2.07 19410.18 401.85 1 in 52
South Carolina 163990 776 0.48 18103 3650 13 0.36 2.23 31850.67 708.91 1 in 31
Michigan 161105 0 0.00 26732 7340 0 0.00 4.56 16131.70 734.97 1 in 62
Missouri 158955 1847 1.18 33929 2592 11 0.43 1.63 25899.29 422.33 1 in 39
Indiana 147582 1605 1.10 30132 3937 19 0.48 2.67 21921.75 584.80 1 in 46
Massachusetts 143660 730 0.51 13018 9737 14 0.14 6.78 20671.98 1401.11 1 in 48
Maryland 135657 530 0.39 12254 4037 1 0.02 2.98 22438.67 667.75 1 in 45
Minnesota 122812 1722 1.42 26078 2287 17 0.75 1.86 21776.60 405.52 1 in 46
Mississippi 110006 0 0.00 13147 3171 0 0.00 2.88 36962.53 1065.47 1 in 27
Iowa 107334 636 0.60 20710 1532 4 0.26 1.43 34019.53 485.57 1 in 29
Oklahoma 107299 831 0.78 22966 1171 9 0.77 1.09 27116.45 295.93 1 in 37
Arkansas 99066 644 0.65 17824 1704 20 1.19 1.72 32826.95 564.65 1 in 30
Washington 98201 530 0.54 11932 2239 0 0.00 2.28 12895.91 294.03 1 in 78
Utah 94394 1097 1.18 23779 543 3 0.56 0.58 29443.31 169.37 1 in 34
Nevada 90261 609 0.68 11533 1710 3 0.18 1.89 29304.04 555.17 1 in 34
Kentucky 87607 810 0.93 21116 1318 6 0.46 1.50 19609.09 295.01 1 in 51
Colorado 85279 933 1.11 16221 2176 0 0.00 2.55 14808.63 377.86 1 in 68
Kansas 70268 245 0.35 13394 859 0 0.00 1.22 24119.61 294.85 1 in 41
Connecticut 62830 0 0.00 6243 4542 0 0.00 7.23 17622.70 1273.95 1 in 57
Nebraska 58068 736 1.28 14005 548 1 0.18 0.94 30018.49 283.29 1 in 33
Puerto Rico 57293 643 1.14 10989 766 5 0.66 1.34 17939.41 239.85 1 in 56
Idaho 53092 510 0.97 12591 528 -1 -0.19 0.99 29626.16 294.63 1 in 34
Oregon 39532 217 0.55 6712 620 1 0.16 1.57 9372.80 147.00 1 in 107
New Mexico 36788 445 1.22 7944 934 5 0.54 2.54 17544.59 445.43 1 in 57
South Dakota 33269 658 2.02 11728 323 8 2.54 0.97 37606.58 365.11 1 in 27
North Dakota 31978 717 2.29 11254 404 5 1.25 1.26 41962.46 530.14 1 in 24
Rhode Island 27691 0 0.00 3510 1152 0 0.00 4.16 26139.34 1087.45 1 in 38
Delaware 23093 151 0.66 2833 665 1 0.15 2.88 23715.19 682.92 1 in 42
Montana 22821 596 2.68 10714 241 2 0.84 1.06 21352.42 225.49 1 in 47
West Virginia 20081 276 1.39 4730 402 1 0.25 2.00 11236.34 224.94 1 in 89
District of Columbia 16370 36 0.22 1120 641 0 0.00 3.92 23195.22 908.25 1 in 43
Hawaii 14031 82 0.59 1915 187 1 0.54 1.33 9909.79 132.07 1 in 101
Alaska 10980 220 2.04 3499 67 0 0.00 0.61 15009.33 91.59 1 in 67
New Hampshire 9625 0 0.00 1453 466 0 0.00 4.84 7078.71 342.72 1 in 141
Wyoming 9025 209 2.37 3392 57 0 0.00 0.63 15593.71 98.49 1 in 64
Maine 5937 25 0.42 650 146 0 0.00 2.46 4416.71 108.61 1 in 226
Vermont 1937 11 0.57 195 58 0 0.00 2.99 3104.22 92.95 1 in 322

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16892062 875692 5.18 2558564 65802 2.57 427514.8
2 Texas 7326919 854006 11.66 1310012 95250 7.27 252688.3
3 Florida 5722392 755020 13.19 468951 54456 11.61 266433.7
4 New York 12900166 484281 3.75 2391980 28655 1.20 663126.2
5 Illinois 6779140 347631 5.13 1297141 57258 4.41 534977.6
6 Georgia 3298458 340558 10.32 412189 25873 6.28 310664.7
7 North Carolina 3617258 246028 6.80 638530 38679 6.06 344892.2
8 Arizona 1631023 231149 14.17 187700 13912 7.41 214188.6
9 Tennessee 3340819 228744 6.85 508283 35749 7.03 488911.7
10 New Jersey 4138871 219647 5.31 625605 16099 2.57 465974.2
11 Pennsylvania 2314863 186754 8.07 313643 26010 8.29 180820.6
12 Ohio 3900649 181787 4.66 829462 30978 3.73 333699.7
13 Louisiana 2592598 175781 6.78 309449 10930 3.53 557692.6
14 Alabama 1253896 172626 13.77 142657 20305 14.23 255730.9
15 Wisconsin 1765796 166186 9.41 244100 50324 20.62 303274.5
16 Virginia 2386778 165676 6.94 383649 19675 5.13 279628.9
17 South Carolina 1601263 163990 10.24 348725 18103 5.19 311002.5
18 Michigan 4270757 161105 3.77 727700 26732 3.67 427637.7
19 Missouri 2285067 158955 6.96 986961 33929 3.44 372316.7
20 Indiana 2512174 147582 5.87 1153314 30132 2.61 373156.9
21 Massachusetts 5168943 143660 2.78 1287097 13018 1.01 743786.0
22 Maryland 3079162 135657 4.41 1484799 12254 0.83 509316.1
23 Minnesota 2489218 122812 4.93 508118 26078 5.13 441379.5
24 Mississippi 839550 110006 13.10 108655 13147 12.10 282092.7
25 Iowa 832536 107334 12.89 77913 20710 26.58 263872.4
26 Oklahoma 1434831 107299 7.48 275846 22966 8.33 362608.4
27 Arkansas 1215944 99066 8.15 275317 17824 6.47 402920.7
28 Washington 2214560 98201 4.43 393937 11932 3.03 290819.6
29 Utah 973938 94394 9.69 162689 23779 14.62 303790.0
30 Nevada 750365 90261 12.03 61409 11533 18.78 243612.7
31 Kentucky 1674648 87607 5.23 399960 21116 5.28 374836.7
32 Colorado 1668053 85279 5.11 372398 16221 4.36 289656.1
33 Kansas 589189 70268 11.93 86419 13394 15.50 202240.1
34 Connecticut 1967633 62830 3.19 448482 6243 1.39 551886.3
35 Nebraska 539127 58068 10.77 93998 14005 14.90 278703.9
37 Idaho 350312 53092 15.16 49106 12591 25.64 195479.5
38 Oregon 785104 39532 5.04 113614 6712 5.91 186143.4
39 New Mexico 1046727 36788 3.51 146790 7944 5.41 499195.2
40 South Dakota 231047 33269 14.40 43543 11728 26.93 261170.7
41 North Dakota 733088 31978 4.36 133021 11254 8.46 961979.5
42 Rhode Island 935623 27691 2.96 208154 3510 1.69 883195.6
43 Delaware 327296 23093 7.06 45272 2833 6.26 336114.3
44 Montana 431134 22821 5.29 100827 10714 10.63 403389.7
45 West Virginia 680872 20081 2.95 131149 4730 3.61 380982.7
46 District of Columbia 466805 16370 3.51 85646 1120 1.31 661432.0
47 Hawaii 473581 14031 2.96 181924 1915 1.05 334480.1
48 Alaska 532711 10980 2.06 89842 3499 3.89 728199.9
49 New Hampshire 538613 9625 1.79 116022 1453 1.25 396123.2
50 Wyoming 117779 9025 7.66 19740 3392 17.18 203502.7
51 Maine 533715 5937 1.11 112519 650 0.58 397046.8
52 Vermont 178460 1937 1.09 17470 195 1.12 285998.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1601365 5984 0.38 1384879 86.48 173759 42240 125 0.30 2.64
Andhra Pradesh 786050 2918 0.37 744532 94.72 35065 6453 24 0.37 0.82
Karnataka 770604 5018 0.66 653829 84.85 106214 10542 64 0.61 1.37
Tamil Nadu 690936 3536 0.51 642152 92.94 38090 10694 52 0.49 1.55
Uttar Pradesh 456865 1719 0.38 418685 91.64 31495 6685 27 0.41 1.46
Kerala 346882 5022 1.47 252868 72.90 92732 1183 21 1.81 0.34
Delhi 333171 2154 0.65 304561 91.41 22570 6040 31 0.52 1.81
West Bengal 325028 3992 1.24 284325 87.48 34584 6119 63 1.04 1.88
Odisha 270346 1982 0.74 249575 92.32 19566 1205 17 1.43 0.45
Telangana 223059 948 0.43 200686 89.97 21098 1275 4 0.31 0.57
Bihar 205124 912 0.45 193789 94.47 10331 1003 7 0.70 0.49
Assam 201407 698 0.35 173210 86.00 27319 875 7 0.81 0.43
Rajasthan 175226 1960 1.13 152573 87.07 20893 1760 13 0.74 1.00
Chhattisgarh 162772 2376 1.48 135259 83.10 25979 1534 56 3.79 0.94
Madhya Pradesh 161203 1015 0.63 145421 90.21 12996 2786 13 0.47 1.73
Gujarat 160722 996 0.62 142899 88.91 14177 3646 8 0.22 2.27
Haryana 151234 1201 0.80 139511 92.25 10075 1648 8 0.49 1.09
Punjab 128103 473 0.37 118767 92.71 5307 4029 17 0.42 3.15
Jharkhand 96842 490 0.51 89780 92.71 6220 842 3 0.36 0.87
Jammu and Kashmir 88369 427 0.49 78667 89.02 8314 1388 9 0.65 1.57
Uttarakhand 58360 336 0.58 51486 88.22 5554 933 6 0.65 1.60
Goa 40746 159 0.39 36914 90.60 3283 549 5 0.92 1.35
Puducherry 33247 106 0.32 28520 85.78 4152 575 1 0.17 1.73
Tripura 29550 85 0.29 26527 89.77 2672 328 2 0.61 1.11
Himachal Pradesh 19119 152 0.80 16238 84.93 2577 267 4 1.52 1.40
Manipur 15463 0 0.00 11741 75.93 3606 116 0 0.00 0.75
Chandigarh 13686 40 0.29 12617 92.19 861 208 0 0.00 1.52
Arunachal Pradesh 13643 237 1.77 10780 79.01 2833 30 0 0.00 0.22
Meghalaya 8536 28 0.33 6392 74.88 2069 75 0 0.00 0.88
Nagaland 7816 0 0.00 6142 78.58 1582 21 0 0.00 0.27
Ladakh 5647 49 0.88 4701 83.25 880 66 0 0.00 1.17
Andaman and Nicobar Islands 4126 18 0.44 3892 94.33 178 56 0 0.00 1.36
Sikkim 3601 4 0.11 3195 88.73 263 62 2 3.33 1.72
Dadra and Nagar Haveli and Daman and Diu 3183 2 0.06 3115 97.86 41 2 0 0.00 0.06
Mizoram 2253 0 0.00 2151 95.47 102 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2502284 126769 2975 2.40 5.07 1065 110 23294 17078 13.47
Piemonte 859206 43990 1123 2.62 5.12 780 55 9833 4198 9.54
Emilia-Romagna 1375298 40859 526 1.30 2.97 439 67 9163 4515 11.05
Veneto 2145935 35851 800 2.28 1.67 378 44 9425 2256 6.29
Campania 766187 25819 1376 5.63 3.37 849 78 16865 501 1.94
Lazio 1146334 24988 1198 5.04 2.18 1085 99 14380 1024 4.10
Toscana 917245 22802 906 4.14 2.49 385 55 9986 1194 5.24
Liguria 376443 18115 370 2.09 4.81 402 39 3759 1636 9.03
Sicilia 595469 12292 548 4.67 2.06 493 70 6790 365 2.97
Puglia 488758 11385 301 2.72 2.33 377 36 5233 635 5.58
Marche 283447 9458 204 2.20 3.34 88 13 2045 995 10.52
P.A. Trento 261234 6845 48 0.71 2.62 38 0 801 417 6.09
Friuli Venezia Giulia 477102 6415 155 2.48 1.34 56 14 2081 361 5.63
Abruzzo 244761 6194 221 3.70 2.53 170 13 2513 494 7.98
Sardegna 228705 6096 230 3.92 2.67 208 29 3396 174 2.85
P.A. Bolzano 203735 4819 171 3.68 2.37 67 7 1607 293 6.08
Umbria 253302 4742 327 7.41 1.87 115 14 2431 92 1.94
Calabria 238747 2761 78 2.91 1.16 61 5 1072 104 3.77
Valle d’Aosta 33399 1811 73 4.20 5.42 20 2 528 146 8.06
Basilicata 88624 1274 48 3.92 1.44 43 0 680 39 3.06
Molise 54367 956 27 2.91 1.76 12 0 355 26 2.72

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 93391 2373 2.61 6038 20 0.33 6.47 10938.69 707.22 1 in 91
Ontario 67027 1158 1.76 3101 11 0.36 4.63 4555.99 210.78 1 in 219
Alberta 21775 0 0.00 288 0 0.00 1.32 4934.12 65.26 1 in 203
British Columbia 11189 0 0.00 251 0 0.00 2.24 2189.24 49.11 1 in 457
Manitoba 3302 129 4.07 40 2 5.26 1.21 2397.07 29.04 1 in 417
Saskatchewan 2330 60 2.64 25 0 0.00 1.07 1971.79 21.16 1 in 507
Nova Scotia 1097 4 0.37 65 0 0.00 5.93 1122.30 66.50 1 in 891
New Brunswick 310 13 4.38 3 1 50.00 0.97 397.44 3.85 1 in 2516
Newfoundland and Labrador 287 0 0.00 4 0 0.00 1.39 550.48 7.67 1 in 1817
Prince Edward Island 63 0 0.00 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5241 105 2.00
Guangdong 1884 8 0.42
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1090 7 0.64
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 845 7 0.83
Sichuan 725 3 0.41
Jiangsu 669 0 0.00
Chongqing 586 6 1.02
Shaanxi 438 3 0.68
Fujian 417 1 0.24
Hebei 368 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 275 1 0.36
Guangxi 260 2 0.77
Tianjin 254 3 1.18
Yunnan 211 2 0.95
Shanxi 209 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24922.35 671.38 1 in 40
India 5638.74 85.59 1 in 177
Brazil 24961.12 734.23 1 in 40
Russia 9625.08 166.36 1 in 104
Argentina 22355.55 593.34 1 in 45
Colombia 19555.17 590.38 1 in 51
Spain 20072.01 723.85 1 in 50
France 13081.68 497.46 1 in 76
Peru 26905.47 1047.62 1 in 37
Mexico 6588.44 666.93 1 in 152
United Kingdom 10916.50 658.28 1 in 92
South Africa 12408.20 325.65 1 in 81
Iran 6534.99 374.26 1 in 153
Chile 27244.32 755.40 1 in 37
Iraq 11148.00 267.94 1 in 90
Italy 6849.22 604.22 1 in 146
Bangladesh NA NA 1 in NA
Germany 4453.09 118.35 1 in 225
Indonesia 1370.71 47.39 1 in 730
Philippines 3399.60 63.41 1 in 294

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 288451 6876 2.38
Miami-Dade Florida 178354 3540 1.98
Cook Illinois 163912 5357 3.27
Harris Texas 154367 2728 1.77
Maricopa Arizona 149720 3510 2.34
Dallas Texas 89987 1194 1.33
Broward Florida 81107 1510 1.86
Queens New York 75109 7286 9.70
Clark Nevada 74950 1469 1.96
Kings New York 73123 7370 10.08
Bexar Texas 63328 1381 2.18
Riverside California 63284 1269 2.01
San Bernardino California 59696 1021 1.71
Tarrant Texas 59274 783 1.32
Orange California 56868 1409 2.48
Bronx New York 54409 4978 9.15
San Diego California 52355 853 1.63
Palm Beach Florida 49011 1490 3.04
Nassau New York 48596 2204 4.54
Suffolk New York 48029 2016 4.20
Hillsborough Florida 45455 750 1.65
Orange Florida 43453 530 1.22
Salt Lake Utah 40713 288 0.71
Philadelphia Pennsylvania 40179 1840 4.58
Westchester New York 39476 1460 3.70
Wayne Michigan 38146 3022 7.92
New York New York 34991 3190 9.12
Milwaukee Wisconsin 34400 554 1.61
Hidalgo Texas 34179 1895 5.54
Shelby Tennessee 33996 551 1.62
Kern California 33373 410 1.23
Duval Florida 32887 508 1.54
El Paso Texas 32758 575 1.76
Hennepin Minnesota 32050 965 3.01
Mecklenburg North Carolina 31688 374 1.18
Prince George’s Maryland 31442 845 2.69
Travis Texas 30956 445 1.44
Franklin Ohio 30590 635 2.08
Middlesex Massachusetts 29986 2223 7.41
Fresno California 29911 429 1.43
Fulton Georgia 29819 606 2.03
Gwinnett Georgia 29689 433 1.46
Davidson Tennessee 29425 325 1.10
St. Louis Missouri 27900 857 3.07
Pima Arizona 26911 634 2.36
Suffolk Massachusetts 26383 1156 4.38
Utah Utah 25204 72 0.29
King Washington 25093 793 3.16
Marion Indiana 24410 780 3.20
Montgomery Maryland 24395 860 3.53
Sacramento California 24304 468 1.93
Pinellas Florida 24099 800 3.32
Bergen New Jersey 23738 2050 8.64
Cameron Texas 23709 1063 4.48
Santa Clara California 23224 373 1.61
Oakland Michigan 22931 1226 5.35
Alameda California 22636 442 1.95
Fairfax Virginia 22616 602 2.66
Essex New Jersey 22479 2134 9.49
Jefferson Alabama 22300 372 1.67
Essex Massachusetts 22035 1326 6.02
Lee Florida 21962 492 2.24
Oklahoma Oklahoma 21854 216 0.99
Polk Florida 21780 586 2.69
Hudson New Jersey 21731 1523 7.01
Fairfield Connecticut 21368 1427 6.68
San Joaquin California 21187 484 2.28
Cobb Georgia 21158 447 2.11
Nueces Texas 20993 436 2.08
Middlesex New Jersey 20930 1437 6.87
DuPage Illinois 20724 596 2.88
Providence Rhode Island 20439 909 4.45
Tulsa Oklahoma 20322 185 0.91
DeKalb Georgia 20275 390 1.92
Douglas Nebraska 20025 214 1.07
Passaic New Jersey 19976 1259 6.30
Wake North Carolina 19801 261 1.32
Baltimore Maryland 19565 653 3.34
Lake Illinois 19438 503 2.59
Jefferson Kentucky 19360 328 1.69
Cuyahoga Ohio 19212 671 3.49
Union New Jersey 18709 1363 7.29
Jefferson Louisiana 18344 580 3.16
Contra Costa California 18054 234 1.30
Polk Iowa 17906 281 1.57
Stanislaus California 17292 391 2.26
Rockland New York 17171 680 3.96
Fort Bend Texas 17126 303 1.77
Tulare California 17120 275 1.61
Collin Texas 16937 171 1.01
Macomb Michigan 16870 1061 6.29
Baltimore City Maryland 16842 496 2.95
Will Illinois 16748 418 2.50
Richmond New York 16720 1091 6.53
Charleston South Carolina 16628 271 1.63
Richland South Carolina 16626 262 1.58
Greenville South Carolina 16384 331 2.02
District of Columbia District of Columbia 16370 641 3.92
Hartford Connecticut 16273 1445 8.88
Ocean New Jersey 15952 1054 6.61

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc